Why One Deep-Value Investor Thinks Beaten-Down Software Stocks Can Still Pay — If You Trade Them Like Telephone Directories

Software stocks have had a rough stretch. Prices that once looked unstoppable have cooled, and investors are now debating a big question: Is this a temporary scare, or a lasting shift caused by AI? One deep-value investor, Lee Roach, argues that many people are missing a key point. Even if some software businesses are no longer “perfect,” they may still be very profitable for a long time—and that can be enough to make money, if you buy them the right way.

Roach is not known for chasing popular growth stories. He typically looks for “cheap, unloved” situations—often microcaps or companies coming out of bankruptcy—where the balance sheet is understandable and the market sentiment is unusually negative.

So why is he looking at software now? Because the selloff has been fast, fear-driven, and broad. According to the MarketWatch report, the S&P 500 Software Index was down about 22% in 2026 at the time of writing, and even major names like Salesforce were down roughly 30%. Roach says the speed of multiple compression “rarely” shows up outside major crises, and that it has the familiar “smell of maximum fear.”

What Does “Trade Them Like Telephone Directories” Mean?

The phrase sounds strange on purpose. Telephone directories were a classic example of an industry in structural decline. As the internet grew, printed directories became less important. But here’s the twist: many directory businesses stayed cash-flow positive for years. They didn’t vanish overnight; they faded slowly, and during that long fade they still produced money for owners and investors.

Roach’s big idea is that the market often makes a mistake when it gets scared. It sometimes prices a business as if it will die quickly—when the reality is a slow decline or a messy transition. In those cases, returns can be surprisingly strong, because you’re buying at a price that assumes the worst.

In other words, “trade them like telephone directories” does not mean “pretend nothing is changing.” It means:

Accept that the business might not be a high-growth rocket anymore.
Focus on cash flow, durability, and customer stickiness.
Pay a price that builds in a lot of bad news.
Win if reality ends up being “bad, but not fatal.”

Why Software Stocks Became Vulnerable in the First Place

1) Valuations Got Extreme

Roach says he avoided software in the past because valuations were “absurd”—including examples where investors paid huge multiples for revenue, even when businesses had not yet proven they could consistently produce profits.

When prices are that high, stocks become fragile. Even a small change in expectations can cause a big drop, because you’re paying for a near-perfect future.

2) AI Introduced Real Uncertainty

Large language models (LLMs) and other AI tools are changing how knowledge work gets done. The fear is simple: if AI can perform tasks that used to require specialized software, then some software companies may lose part of their “moat”—the competitive advantage that keeps customers paying. Roach agrees that AI can degrade moats, and in some cases “wipe” them out.

But he draws a line between a narrower moat and zero value. A company can lose some edge and still have customers, contracts, switching costs, and recurring revenue.

3) The Market Reacted Fast

When investors get nervous, they don’t always calmly adjust their spreadsheets. They sell first and ask questions later. Roach argues that the speed of the selloff compressed valuations at a pace that resembles crisis periods, and that this kind of panic can create opportunity for patient buyers.

The “Terminal Value” Argument: Why “Not Great” Can Still Be Valuable

A lot of investing comes down to one question: How much cash will this business produce over its lifetime? Growth investors often focus on the “upside scenario.” Deep-value investors often focus on the “downside scenario.” Roach’s point is that the market can confuse these two things:

Moat damage does not automatically mean the business stops producing cash.

Some software companies serve large enterprises with complex needs, long contracts, compliance requirements, and deep integration. Even if a new AI tool threatens certain features, the customer might not rip out a system overnight. Switching can be expensive, risky, and disruptive. That creates time—and time is valuable if you’re collecting cash flow along the way.

Roach highlights examples from history where investors made strong returns in industries that were supposedly “over.” He points to tobacco companies and other legacy-style businesses, arguing that investors who bought them during periods of pessimism sometimes did very well for years.

How a Deep-Value Investor Looks at Software Differently

Traditional “software investing” is often about:

fast growth
big total addressable markets
high gross margins
expanding multiples

Roach’s approach is more like buying a mature business with strong cash flow at a depressed price. The goal is not to prove the company is the next superstar. The goal is to prove the market has become too pessimistic.

Key questions in this mindset

Is the revenue recurring? Subscriptions and multi-year contracts can buy time.
How “sticky” are customers? If switching is painful, churn may stay low.
Is there real free cash flow? Cash that remains after expenses and reinvestment.
Is the balance sheet understandable? Too much debt can turn a slow decline into a fast disaster.
Can management cut costs and adapt? If growth slows, efficiency matters more.

In the MarketWatch summary, Roach argues that even if AI reduces competitive advantages, the market may be failing to recognize that “narrower moat” still leaves room for meaningful “terminal value.”

Why the “Slow Decline” Trade Can Work

Here’s the pattern Roach is pointing to:

The market becomes convinced a business model is “done.”
Investors dump the stock, pushing valuations down hard.
The company doesn’t die quickly—it shrinks slowly while staying profitable.
Cash flow plus buybacks/dividends/debt paydown reward shareholders.
Even without growth, returns can be strong because you bought so cheap.

Roach sums it up as: when the market prices a business for death, but the business instead manages a slow decline, returns can be remarkable.

What AI Changes—and What It Doesn’t

AI can weaken moats

Some software tools once had a big advantage because they “knew” how to do a specific job—write marketing copy, route customer tickets, generate reports, summarize documents, and so on. If AI can do those tasks cheaply, parts of the old value proposition get commoditized.

But enterprises don’t move instantly

Even if a new AI tool is impressive, companies still worry about:

data security and privacy
regulatory compliance
system reliability
vendor accountability
integration with existing workflows

This friction can keep established software vendors in place longer than people expect, especially in big organizations.

AI can also make companies leaner

Another angle in Roach’s thesis is that disruption can force companies to adapt, cut costs, and focus on profitable core products. In some cases, a shakeout can actually improve long-term economics—fewer “nice-to-have” projects, more discipline, and more emphasis on cash generation.

What This Means for Everyday Investors

This story isn’t saying “all software is cheap, buy everything.” It’s highlighting a mindset: separate the story from the price. A scary story might already be fully priced in—or even over-priced in the negative direction.

Practical takeaways (without pretending to give personal financial advice)

Price matters. A great company can be a terrible investment if you overpay.
Cash flow matters. In uncertain times, profits and free cash flow get more respect.
Balance sheet matters. Debt can destroy a slow-decline thesis.
Time horizon matters. Deep-value trades often require patience.
Diversification matters. Even good theses can be wrong in specific cases.

Roach is basically arguing that the market is treating many software names as if their future value is close to zero, when the more realistic outcome may be lower growth but continued profitability.

Risks and Reasons This Thesis Could Fail

To be fair, there are real dangers. “Telephone directory” investing works only when the decline is slow and cash remains meaningful. Here are the biggest ways it can go wrong:

1) The decline isn’t slow—it’s sudden

If AI causes customers to cancel quickly, revenue can drop faster than costs can be cut. Software businesses often have high fixed costs (engineering, sales, support). Rapid revenue loss can crush margins.

2) Pricing power collapses

Even if customers don’t leave, they may demand lower prices if alternatives appear. A company can keep revenue “stable” but lose profitability if pricing pressure hits hard.

3) The balance sheet is weaker than it looks

Some companies carry heavy debt or have complicated financial structures. If refinancing becomes expensive, cash flow can be redirected away from shareholders and into interest payments.

4) Innovation stalls

Companies that fail to integrate AI into their product offerings might lose relevance. Disruption rewards firms that adapt, not firms that freeze.

5) The market stays pessimistic longer than expected

Even if the business is fine, the stock price can remain depressed for a long time. That’s why deep-value investors usually want a big margin of safety.

Why the Market Loves Extreme Stories

Markets tend to swing between two emotional extremes:

“This will grow forever.”
“This is going to zero.”

Reality is often in the middle. Roach’s argument sits right in that middle ground: software moats may be smaller, but many companies may still have years of cash flow ahead. And if the market is pricing them for “death,” a less-bad outcome can be enough to drive strong returns.

FAQ

1) Who is Lee Roach?

He is a deep-value investor who writes The Value Road newsletter on Substack and is known for looking at “cheap, unloved” situations, including microcaps and post-bankruptcy companies.

2) Why is he interested in software stocks now?

Because many software stocks have fallen sharply, compressing valuations quickly. He believes the market is showing signs of maximum fear and may be mispricing long-term value.

3) What does the “telephone directories” comparison really mean?

It means a business can be in decline yet still generate cash for many years. If investors buy when the market expects quick death, and the business instead declines slowly, the returns can be strong.

4) Is Roach saying AI is not a threat?

No. He acknowledges AI can damage or even wipe out moats for some software companies. His key point is that moat damage doesn’t automatically mean the business has zero terminal value.

5) What kinds of metrics matter most in this approach?

Cash flow (especially free cash flow), customer stickiness, recurring revenue, and a balance sheet that can survive a difficult transition period are often central to a deep-value view.

6) What’s the biggest risk with this strategy?

The biggest risk is that decline happens faster than expected—through customer churn, pricing pressure, or financial stress—turning a “slow fade” into a sudden breakdown.

Conclusion

This investor’s message is simple but powerful: don’t confuse disruption with instant destruction. AI is real, and it can reduce the competitive advantage of many software companies. But Roach argues that the market may be skipping an important step—recognizing that even “less special” businesses can have years of profits and cash flow left.

If the market is pricing software stocks as if their future value is near zero, then any outcome that’s “bad, but not fatal” can create opportunity. That’s the heart of the telephone-directory analogy: a long decline can still be a long runway for cash returns—especially when you buy at a deep discount and stay disciplined about risk.

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